Pipeline engine for specifying, visualizing, and analyzing MRI image reconstructions
Abstract:
Systems and methods are provided for the imaging of a subject (e.g., patient). A pipeline architecture is presented that facilitates the development of high-quality, application-specific data reconstructions. A plurality of processing nodes is provided, each node comprising one or more processing tasks for data transformation. Two or more processing nodes are linked together to form a functional pipeline, each pipeline configured to generate image data from a raw image data set, such as raw magnetic resonance imaging data. The generated image data is used to generate the image of the subject. The processing nodes and the functional pipeline can be dynamically reconfigured to optimize the computing resources used. The processing nodes and the pipeline may be visualized and queried to facilitate debugging and the configuration of an image processing procedure.
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